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Applied Sciences
Article . 2023 . Peer-reviewed
License: CC BY
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Applied Sciences
Article . 2023
Data sources: DOAJ
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An Evaluation of Healthy Eating Scale for Patients with Pre-Diabetes Using Rasch Analysis

Authors: Kerry Anne de Vent; Nguyen Hoang Nguyen Do; Fakir M. Amirul Islam;

An Evaluation of Healthy Eating Scale for Patients with Pre-Diabetes Using Rasch Analysis

Abstract

Consumption of a healthy diet is required to manage blood glucose level in people with diabetes or pre-diabetes. The aim of this study was to test the internal validity of healthy eating habits assessed using a self-reported scale, the Rapid Eating Assessment for Participants (REAP) scale, in participants with pre-diabetes. The scale had 15 items with 4 categories: “Never”, “Rarely”, “Some days” and “Usually/most days”. Those items were administered to 119 participants from 2006 to 2008 in Victoria, Australia. Rasch analysis was applied using RUMM2030 software. Overall fit was adequate in the unaltered model (χ2 = 29.29, p = 0.500, person separation index (PSI) = 0.500), however, seven items had disordered thresholds which were remedied by collapsing “Rarely” with “Some days” (χ2 = 37.36, p = 0.166, psi = 0.550). Item 1 (“Eat 3 main meals”) remained disordered after collapsing. Two persons were removed due to their fit residuals being outside ±2.5, however, these deletions did not improve the fit, so it was decided to retain these persons in the scale. Overall, there was no significant differential item functioning (DIF) or local dependency. However, there was evidence of multidimensionality and a ceiling effect toward healthy eating in the person item threshold. The results from Rasch analysis showed that the current scale needs some improvement, such as addressing disordered thresholds, for measuring eating habits for people with pre-diabetes. A modified version with middle categories collapsed would provide a psychometrically more robust measure. Further study is needed to validate the scale as a screening tool for measuring healthy eating among people with pre-diabetes.

Country
Australia
Keywords

Technology, QH301-705.5, T, Physics, QC1-999, Australia, Rasch analysis, healthy eating scale, Engineering (General). Civil engineering (General), Chemistry, pre-diabetes, TA1-2040, Biology (General), QD1-999

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
gold